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Short Report: Evaluating the Effects of Automated Donor Referral Technology on Deceased Donor Referrals.
Levan, Macey L; Trahan, Chad; Klitenic, Samantha B; Hewlett, Jonathan; Strout, Tyler; Levan, Michael A; Vanterpool, Karen B; Segev, Dorry L; Adams, Bradley L; Massie, Allan B; Niles, Patricia.
Afiliação
  • Levan ML; Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD.
  • Trahan C; Department of Surgery, NYU Grossman School of Medicine, New York, NY.
  • Klitenic SB; Southwest Transplant Alliance, Dallas, TX.
  • Hewlett J; Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD.
  • Strout T; Southwest Transplant Alliance, Dallas, TX.
  • Levan MA; Southwest Transplant Alliance, Dallas, TX.
  • Vanterpool KB; Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD.
  • Segev DL; Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD.
  • Adams BL; Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD.
  • Massie AB; Department of Surgery, NYU Grossman School of Medicine, New York, NY.
  • Niles P; Southwest Transplant Alliance, Dallas, TX.
Transplant Direct ; 8(8): e1330, 2022 Aug.
Article em En | MEDLINE | ID: mdl-37077729
ABSTRACT
Automation of deceased donor referrals with standardized clinical triggers allows organ procurement organizations to be rapidly aware of medically eligible potential donors without the need for manual reporting and subjective decision-making of otherwise very busy hospital staff. In October 2018, 3 Texas hospitals (pilot hospitals) began using an automated referral system; our goal was to evaluate the impact of this system on eligible donor referral.

Methods:

We studied ventilated referrals (n = 28 034) in a single organ procurement organization from January 2015 to March 2021. We estimated the change in referral rate in the 3 pilot hospitals due to the automated referral system using a difference-in-differences analysis with Poisson regression.

Results:

Ventilated referrals from the pilot hospitals increased from mean 11.7 per month pre-October 2018 to 26.7 per month post-October 2018. The difference-in-differences analysis estimated that automated referral was associated with a 45% increase in referrals (adjusted incidence rate ratio [aIRR] = 1.30 1.45 1.62), an 83% increase in approaches for authorization (aIRR = 1.34 1.83 2.48), a 73% increase in authorizations (aIRR = 1.18 1.73 2.55), and a 92% increase in organ donors (aIRR = 1.13 1.92 3.09).

Conclusions:

Following deployment of an automated referral system that did not require any actions by the referring hospital, referrals, authorizations, and organ donors increased substantially in the 3 pilot hospitals. Broader deployment of automated referral systems may lead to increases in the deceased donor pool.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Moldávia

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Moldávia